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This definition defines a new CORBA interface type called Thermostat The interface offers two operations: get_temp and set_nominal_temp If a client accesses an object via its interface (or, more correctly, via an object reference to that interface), it does so by invoking operations on the interface For example, to read the current room temperature, a client invokes the get_temp operation, and to change the setting of a thermostat, the client invokes the set_nominal_temp operation The act of invoking an operation on an interface causes the ORB to send a message to the corresponding object implementation If the target object is in another address space, the ORB run time sends a remote procedure call to the implementation If the target object is in the same address space as the caller, the invocation is usually accomplished as an ordinary function call to avoid the overhead of marshaling and using a networking protocol Some ORBs also offer a shared memory transport to optimize calls to implementations that are in a different address space but on the same machine Intuitively, IDL interfaces correspond to C++ classes, and IDL operations correspond to C++ member functions However, there are differences between C++ class definitions and IDL interface definitions IDL interfaces define only the interface to an object and say nothing about the object's implementation This has a number of consequences

Summary

IDL interfaces do not have a public, private, or protected part By definition, everything in an interface is public Things are made private by simply not saying anything about them IDL interfaces do not have member variables IDL has no concept of member variables, not even public ones Member variables store state, and the state of an object is an implementation concern[2] Of course, you can create objects that store state, and you can allow clients to manipulate that state However, clients must do this by invoking operations on the interface, and the details of how the state of an object is changed are hidden behind its interface

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A distributed environment is always a challenge However, with proper planning and by using the facilities provided by Windows Server 2008, you can enable all the of ces of an organization, both central and remote locations, to enjoy full functionality without an administrative nightmare Microsoft is still working on DFS, and you can look forward to numerous improvements in future versions that includes reduced management for large namespaces and a more automated experience when you move shares between servers In that more automated experience, you will see the DFS Management snap-in taking care of replicating the data, modifying the share, updating the namespace, and recon guring DFSR And all this will be done in such a way that there will be no interruption to the end user, who can enjoy 24/7 availability The full life cycle of share management is on the agenda, with various levels of storage class being

[2] IDL attributes are not public member variables even though they look as if they were We discuss IDL attributes in Section 414

Summary

Date startDate = new Date(1000); Date endDate = new Date(2000);

available and with DFS deciding where the shares should physically reside This virtualization of where storage exists via the DFSN follows Microsoft s strategy with server virtualization, which sees the System Center Virtual Machine Manager solution able to provision and move virtual instances to best suit the load of the virtual instance and where resources are available In terms of replication, although DFSR is great, there are still improvements on the agenda, which focus on using even less bandwidth for replication, adding cluster support for DFSR, and allowing read-only capabilities for replicas You should also see the capability for DFSR to replicate open les You may hear conversations about which should be used, SharePoint or DFSR These are two different solutions DFSR has no distributed locking mechanism, which means there are complications if the same le is edited at the same time on different replicas of the folder, whereas SharePoint has a powerful checking out process DFSR is good for replicating data between locations that are primarily edited only in a single location at any one time

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